CS 331 - Data Science Practicum

Credits: 4

Study of practical solutions for complex problems using predictive analytics and statistical learning (supervised and unsupervised) on real-world data. Examination of the essential role of algorithms in Big Data Analysis using case studies over diverse domains. Students develop and present requirements and design plans for real-world projects.

Pre-Requisites: CS 231
Repeatable: May not be repeated for credit
Lecture: 2
Lab: 3